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Perspectives on Big Data and Big Data Analytics in Healthcare.

Egondu R Onyejekwe, Dasantila Sherifi, Hung Ching

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    Summary

    Healthcare organizations face challenges managing big data (BD) and big data analytics (BDA). This study reveals insights into structural, operational, and utilization aspects, offering valuable perspectives for improvement.

    Keywords:
    artificial intelligencebig databig data analyticsdigital datahealth recordspopulation health

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    Area of Science:

    • Health Informatics
    • Data Science in Healthcare
    • Healthcare Management

    Background:

    • Big data (BD) offers significant potential for insights into healthcare practices and populations.
    • Advancements in BD collection and big data analytics (BDA) tools exist.
    • Healthcare organizations still face challenges with BD characteristics and BDA tools.

    Purpose of the Study:

    • To qualitatively explore the realities of big data and big data analytics management and usage within healthcare organizations.
    • To identify current challenges and future directions in healthcare BD/BDA.

    Main Methods:

    • Qualitative study design.
    • Six structured interviews conducted with professionals working with healthcare big data and analytics.
    • Thematic analysis of interview data.

    Main Results:

    • Confirmed known challenges in big data and big data analytics (BD/BDA) within healthcare.
    • Provided new insights into structural, operational, and utilization aspects of BD/BDA.
    • Identified key perspectives for future development and management.

    Conclusions:

    • Understanding the practical realities of BD/BDA management is crucial for healthcare organizations.
    • The findings offer valuable perspectives for improving BD/BDA education, management, and development.
    • Addressing structural, operational, and utilization challenges is key for effective BD/BDA implementation.